Evidence map›Paper›PMID 35914165›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Phylogeographic analysis of the Bantu language expansion supports a rainforest route.

Ezequiel Koile, Simon J Greenhill, Damián E Blasi, Remco Bouckaert, Russell D Gray

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ezequiel KoileDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany.ORCID 0000-0001-9387-971X
Simon J GreenhillDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany.ORCID 0000-0001-7832-6156
Damián E BlasiDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany.ORCID 0000-0002-9885-1414
Remco BouckaertCentre for Computational Evolution, University of Auckland, Auckland 1142, New Zealand.ORCID 0000-0001-6765-3813
Russell D GrayDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig 04103, Germany.ORCID 0000-0002-9858-0191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Bantu expansion transformed the linguistic, economic, and cultural composition of sub-Saharan Africa. However, the exact dates and routes taken by the ancestors of the speakers of the more than 500 current Bantu languages remain uncertain. Here, we use the recently developed "break-away" geographical diffusion model, specially designed for modeling migrations, with "augmented" geographic information, to reconstruct the Bantu language family expansion. This Bayesian phylogeographic approach with augmented geographical data provides a powerful way of linking linguistic, archaeological, and genetic data to test hypotheses about large language family expansions. We compare four hypotheses: an early major split north of the rainforest; a migration through the Sangha River Interval corridor around 2,500 BP; a coastal migration around 4,000 BP; and a migration through the rainforest before the corridor opening, at 4,000 BP. Our results produce a topology and timeline for the Bantu language family, which supports the hypothesis of an expansion through Central African tropical forests at 4,420 BP (4,040 to 5,000 95% highest posterior density interval), well before the Sangha River Interval was open.

Indexed as

LanguageRainforestAfrica, CentralBayes TheoremBlack PeopleHuman MigrationHumansPhylogeographyRiversBantu expansionCentral African rainforestlinguistic geographyphylogeography

Identifiers

PMID35914165
PMCPMC9372543

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.